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Genialis, led by CEO Rafael Rosengarten, is one of the companies working toward a future where there are no more one-size-fits-all drugs—where, instead, every patient gets matched with the best drug for them based on their disease subtype, as measured by gene-sequence and gene-expression data. Analyzing that data—what Rosengarten calls "computational precision medicine"—is already helping drug developers identify the patients who are most likely to respond to experimental medicines. Not long  from now, the same technology could help doctors diagnose patients in the clinic, and/or feed back into drug discovery by providing more biological targets for biopharma companies to hit.

"Our commitment to biomarker-driven drug development is very principled," Rosengarten tells Harry. "There are some amazing drugs out there that, when they work, work miracles. But they don't work that often. Some work in maybe 15 percent of the patients or 20 percent. If you could tell which of those patients are going to respond, then at least the ones who aren't can seek other options, and we would know that we've got to develop [new] drugs for the others." 

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Full Transcript

Harry Glorikian: Hello. I’m Harry Glorikian. Welcome to The Harry Glorikian Show, the interview podcast that explores how technology is changing everything we know about healthcare.

Artificial intelligence. Big data. Predictive analytics. In fields like these, breakthroughs are happening way faster than most people realize. 

If you want to be proactive about your own health and the health of your loved ones, you’ll need to learn everything you can about how medicine is changing and how you can take advantage of all the new options.

Explaining this approaching world is the mission of my new book, The Future You. And it’s also our theme here on the show, where we bring you conversations with the innovators, caregivers, and patient advocates who are transforming the healthcare system and working to push it in positive directions.

For most people, the genomics revolution still feels pretty distant, like something that’s happening off in the ivory towers of big pharma companies or research universities.

But say, heaven forbid, you get diagnosed with cancer next week. All of a sudden you’re going to want to get very familiar with your own genome. 

Because thanks to the Human Genome Project and all the new tools for sequencing and analyzing genes, we know today that there are many different forms of cancer. 

And each one may re